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public static interface SearchRequest.ContentSearchSpec.SummarySpecOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getIgnoreAdversarialQuery()
public abstract boolean getIgnoreAdversarialQuery()
Specifies whether to filter out adversarial queries. The default value
is false
.
Google employs search-query classification to detect adversarial
queries. No summary is returned if the search query is classified as an
adversarial query. For example, a user might ask a question regarding
negative comments about the company or submit a query designed to
generate unsafe, policy-violating output. If this field is set to
true
, we skip generating summaries for adversarial queries and return
fallback messages instead.
bool ignore_adversarial_query = 3;
Returns | |
---|---|
Type | Description |
boolean |
The ignoreAdversarialQuery. |
getIgnoreNonSummarySeekingQuery()
public abstract boolean getIgnoreNonSummarySeekingQuery()
Specifies whether to filter out queries that are not summary-seeking.
The default value is false
.
Google employs search-query classification to detect summary-seeking
queries. No summary is returned if the search query is classified as a
non-summary seeking query. For example, why is the sky blue
and Who
is the best soccer player in the world?
are summary-seeking queries,
but SFO airport
and world cup 2026
are not. They are most likely
navigational queries. If this field is set to true
, we skip
generating summaries for non-summary seeking queries and return
fallback messages instead.
bool ignore_non_summary_seeking_query = 4;
Returns | |
---|---|
Type | Description |
boolean |
The ignoreNonSummarySeekingQuery. |
getIncludeCitations()
public abstract boolean getIncludeCitations()
Specifies whether to include citations in the summary. The default
value is false
.
When this field is set to true
, summaries include in-line citation
numbers.
Example summary including citations:
BigQuery is Google Cloud's fully managed and completely serverless enterprise data warehouse [1]. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform [2, 3].
The citation numbers refer to the returned search results and are 1-indexed. For example, [1] means that the sentence is attributed to the first search result. [2, 3] means that the sentence is attributed to both the second and third search results.
bool include_citations = 2;
Returns | |
---|---|
Type | Description |
boolean |
The includeCitations. |
getLanguageCode()
public abstract String getLanguageCode()
Language code for Summary. Use language tags defined by BCP47. Note: This is an experimental feature.
string language_code = 6;
Returns | |
---|---|
Type | Description |
String |
The languageCode. |
getLanguageCodeBytes()
public abstract ByteString getLanguageCodeBytes()
Language code for Summary. Use language tags defined by BCP47. Note: This is an experimental feature.
string language_code = 6;
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for languageCode. |
getModelPromptSpec()
public abstract SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec getModelPromptSpec()
If specified, the spec will be used to modify the prompt provided to the LLM.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec model_prompt_spec = 5;
Returns | |
---|---|
Type | Description |
SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec |
The modelPromptSpec. |
getModelPromptSpecOrBuilder()
public abstract SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpecOrBuilder getModelPromptSpecOrBuilder()
If specified, the spec will be used to modify the prompt provided to the LLM.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec model_prompt_spec = 5;
Returns | |
---|---|
Type | Description |
SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpecOrBuilder |
getModelSpec()
public abstract SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec getModelSpec()
If specified, the spec will be used to modify the model specification provided to the LLM.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec model_spec = 7;
Returns | |
---|---|
Type | Description |
SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec |
The modelSpec. |
getModelSpecOrBuilder()
public abstract SearchRequest.ContentSearchSpec.SummarySpec.ModelSpecOrBuilder getModelSpecOrBuilder()
If specified, the spec will be used to modify the model specification provided to the LLM.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec model_spec = 7;
Returns | |
---|---|
Type | Description |
SearchRequest.ContentSearchSpec.SummarySpec.ModelSpecOrBuilder |
getSummaryResultCount()
public abstract int getSummaryResultCount()
The number of top results to generate the summary from. If the number
of results returned is less than summaryResultCount
, the summary is
generated from all of the results.
At most 10 results for documents mode, or 50 for chunks mode, can be used to generate a summary. The chunks mode is used when [SearchRequest.ContentSearchSpec.search_result_mode][] is set to CHUNKS.
int32 summary_result_count = 1;
Returns | |
---|---|
Type | Description |
int |
The summaryResultCount. |
getUseSemanticChunks()
public abstract boolean getUseSemanticChunks()
If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
bool use_semantic_chunks = 8;
Returns | |
---|---|
Type | Description |
boolean |
The useSemanticChunks. |
hasModelPromptSpec()
public abstract boolean hasModelPromptSpec()
If specified, the spec will be used to modify the prompt provided to the LLM.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec model_prompt_spec = 5;
Returns | |
---|---|
Type | Description |
boolean |
Whether the modelPromptSpec field is set. |
hasModelSpec()
public abstract boolean hasModelSpec()
If specified, the spec will be used to modify the model specification provided to the LLM.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec model_spec = 7;
Returns | |
---|---|
Type | Description |
boolean |
Whether the modelSpec field is set. |